I’m the Founder and CEO of Elloe AI.

My work sits at the intersection of AI safety, governance, and real-world deployment.

Most alignment efforts focus on training better models. That approach assumes behavior can be fixed before deployment. In practice, systems fail after they go live.

Once deployed, models operate in environments that are not controlled. Inputs shift. Context evolves. Outputs remain plausible, which makes failures harder to detect and more dangerous.

That is the layer I focus on.

At Elloe, I’m building what I call the Immune System for AI. A system that continuously monitors model behavior, identifies when outputs become unreliable or misleading, and intervenes before those outputs propagate.

The goal is not to make models perfect. It is to make systems reliable under real-world conditions.

This work is shaped by building and deploying AI in environments where correctness, traceability, and accountability are required. It leads to a different framing of alignment. Not as a one-time property, but as something that must be enforced continuously.

I’m focused on turning AI safety from a research problem into an operational layer that sits on top of every deployed system.